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Nhl Data Science Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

... of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

... of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

... of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Ball Arena

Intern, Business Intelligence

Denver, CO · On-site

$19.29/hr

... NHL), Colorado Mammoth (NLL), Colorado Rapids (MLS), KIMN, KXKL, KKSE (FM/AM), Altitude Sports ... computer science, data science, economics, or similar field. * Applicants must meet minimum ...

New

Catapult Sports

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

Since 2006, our solutions have been leading the way in sports performance software, science, and ... NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize ...

Catapult Sports

Senior ML/Data Engineer

New York, NY

$116K - $157K/yr

Since 2006, our solutions have been leading the way in sports performance software, science, and ... NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize ...

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All JobsNhl Data Science Jobs

Nhl Data Science information

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$46K

$165K

$243.5K

How much do nhl data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for nhl data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What do NHL data science professionals do?

NHL Data Science professionals typically work on projects such as player performance analysis, injury prediction modeling, game strategy optimization, and opponent scouting through advanced analytics. Daily responsibilities often include collecting and cleaning large datasets, creating and refining predictive models, and presenting insights to coaches and management in a clear and actionable manner. Collaboration with coaching staff, scouts, and front office executives is common, as data insights are integrated into both immediate game plans and long-term team strategies. These projects directly impact training regimens, roster decisions, and on-ice tactics, making the work both dynamic and highly influential in the team’s competitive edge.

What is an NHL data science?

An NHL Data Science job involves analyzing hockey-related data to provide insights for teams, coaches, analysts, and front offices. This can include player performance evaluation, game strategy optimization, injury prediction, and salary cap management using statistical models and machine learning techniques. Data scientists in the NHL work with large datasets from tracking systems, player statistics, and historical game records to improve decision-making. Their goal is to provide actionable insights that enhance team performance, recruitment, and overall strategy.

What skills and qualifications are needed for NHL data science?

To thrive in an NHL Data Science role, you need strong analytical skills, a robust background in statistics or mathematics, and experience with data modeling, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools (e.g., Tableau), and sports analytics platforms is highly valued, along with familiarity with large databases and machine learning techniques. Excellent communication skills, attention to detail, and the ability to collaborate with coaches and other team staff are important soft skills in this position. These capabilities enable data scientists to extract actionable insights from complex hockey data, support strategic decision-making, and contribute to team performance.

More about Nhl Data Science jobs
What cities are hiring for Nhl Data Science jobs? Cities with the most Nhl Data Science job openings:
What are the most commonly searched types of Nhl Data Science jobs? The most popular types of Nhl Data Science jobs are:
What states have the most Nhl Data Science jobs? States with the most job openings for Nhl Data Science jobs include:
What job categories do people searching Nhl Data Science jobs look for? The top searched job categories for Nhl Data Science jobs are:
Nhl Data Science jobs near you
Infographic showing various Nhl Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist, Hockey Operations

The Florida Panthers

Fort Lauderdale, FL • On-site

Full-time

Posted 22 days ago

Job description

Organization Overview:
The Florida Panthers enter their 33rd season in 2026-27 as one of the National Hockey League's premier franchises. As back-to-back Stanley Cup champions in 2024 and 2025, the Cats have emerged victorious in 11 of their past 12 postseason series and have captured four Eastern Conference championships. The Panthers are led by President of Hockey Operations & General Manager Bill Zito entering his seventh season, and President of Business Operations Michael White who begins his first full season.
As the NHL's southernmost team, the Panthers operate four facilities in Broward County, Florida: Amerant Bank Arena in Sunrise; the Panthers IceDen in Coral Springs; the state-of-the-art Baptist Health IcePlex in Fort Lauderdale; and the renovated War Memorial Auditorium, which hosts concerts and events for the South Florida faithful year-round.
An organization with deep roots in the community, the Panthers are owned by Vincent J. Viola, a graduate of the United States Military Academy at West Point and a veteran of the U.S. Army. Emphasizing a culture of selfless service both on and off the ice, the Panthers pillar program, "Heroes Among Us," honors a United States military veteran at every game. The Florida Panthers Foundation focuses on four core pillars: veterans' affairs; children's health and education; raising awareness for the endangered Florida Panther; and growing youth hockey throughout the region. The Panthers remain committed to empowering our fans to live sustainably and to strengthen the resiliency of our diverse communities throughout Florida and the tri-county area.
Senior Data Scientist, Hockey Operations
  • Organization: Florida Panthers Hockey Club
  • Department: Hockey Operations - Research & Development
  • Reports To: Director of Research and Development
  • FLSA Status: Exempt (Salaried)
  • Employment Type: Full-Time
  • Location: Baptist Health IcePlex, Fort Lauderdale, FL - On-Site
  • Schedule: Flexibility required for evenings, weekends, and holidays during key periods of the hockey calendar (Trade Deadline, Amateur Draft, Training Camp)
Job Summary
As a Senior Data Scientist, you will be a foundational member of the R&D team responsible for driving analytical initiatives related to Hockey Operations and its supporting departments. You will build and deploy models, metrics, and tools that inform Hockey Operations decision-making and help communicate those insights clearly to stakeholders at all levels.
This role requires strong analytical depth, proficiency across the modern hockey analytics stack, and the ability to translate complex findings into compelling, actionable outputs. You will report directly to the Director of Research and Development and play a meaningful role in shaping how the organization applies data to competitive decision-making.
Essential Duties & Responsibilities
  • Build, maintain, and enhance analytical tools, metrics, and models in support of Hockey Operations' initiatives and decision-making
  • Create data visualizations and reports that communicate key ideas, findings, and recommendations in an accessible and compelling way for both technical and non-technical audiences
  • Represent R&D in discussing new projects, priorities, and analytical deliverables with coaches, scouts, and Hockey Operations decision-makers
  • Contribute to the mentorship and professional development of junior analysts, providing feedback, code reviews, and guidance as needed
  • Collaborate with analysts and engineers to ensure production-ready data products are available to decision-makers in a timely manner
  • Continuously evolve the organization's analytical capabilities and practices to remain at the cutting edge of hockey analytics research
Qualifications
  • Bachelor's degree in a related technical field required; advanced degree preferred
  • Minimum of 3-5 years of professional experience in an analytical role, ideally within sports or a data-intensive industry
  • Prior experience working in hockey analytics, sports R&D, or with NHL-specific data sources preferred
  • Expertise in production-grade predictive modeling, machine learning, and statistical methods
  • Working knowledge of cloud computing, storage, and data warehousing platforms
  • Strong proficiency in SQL and Python for analytical modeling, data manipulation, and pipeline development
  • Knowledgeable in hockey analytics, NHL data sources, and the concepts that drive modern hockey evaluation; familiarity with multipoint skeletal tracking or spatiotemporal sports data is a plus
  • Strong communication skills - able to deliver findings clearly to Hockey Operations staff
  • Creative mindset, intellectual curiosity, and a desire to operate in a learning culture
Position Type / Expected Hours of Work
This is a full-time exempt (salaried) position. You will be on-site at our facility in Fort Lauderdale, Florida, working alongside Hockey Operations staff daily. Must be able to work evenings, weekends, and holidays during key periods of the hockey schedule.
At the Florida Panthers Hockey Club, Arena Operating Company, Panthers IceDen, Sanza Food Service, War Memorial Benefit Corporation, and FLA Team Shop, we strive to make every employee feel valued and respected for who they are and the unique contributions they make. We believe that a diverse and inclusive company is a more innovative and successful company, which is why we aim to infuse diversity, equity, and inclusion (DE&I) into all aspects of our culture and our business.
We welcome all to apply and join our team.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

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